FAST delivers 2.1× average (up to 4.7×) end-to-end speedup for TGNN training via SlimCache, thread-efficient operators, and topology-aware sampling while preserving accuracy.
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FAST: A Holistic Framework for Optimizing Memory-I/O, Computation, and Sampling in Temporal GNN Training
FAST delivers 2.1× average (up to 4.7×) end-to-end speedup for TGNN training via SlimCache, thread-efficient operators, and topology-aware sampling while preserving accuracy.